Cited by 197Impact of Technology on AdolescentsGambling Behavior and TreatmentsNeural and Behavioral Psychology Studies

The prefrontal dysfunction in individuals with Internet gaming disorder: a meta-analysis of functional magnetic resonance imaging studies

Meng, Yajing, Deng, Wei, Wang, Huiyao, Guo, Wanjun, Li, Tao·2015·Addiction Biology

Abstract

With the advancement in high-resolution magnetic resonance imaging (MRI) technology and automated analysis, studies on functional MRI (fMRI) made it possible to identify the functional activity of brain in vivo in individuals with Internet gaming disorder (IGD), and to explore the underpinning neuroscience basis of IGD. Yet, no available literature has systemically reviewed the fMRI studies of IGD using meta-analyses. This study reviewed 61 candidate articles and finally selected 10 qualified voxel-wise whole-brain analysis studies for performing a comprehensive series of meta-analyses employing effect size signed differential mapping approach. Compared with healthy controls, subjects with IGD showed a significant activation in the bilateral medial frontal gyrus (MFG) and the left cingulate gyrus, as well as the left medial temporal gyrus and fusiform gyrus. Furthermore, the on-line time of IGD subjects was positively correlated with activations in the left MFG and the right cingulated gyrus. These findings implicate the important role of dysfunctional prefrontal lobe in the neuropathological mechanism of IGD. Considering the overlapped role of prefrontal lobe in the reward and self-regulatory system, our results provided supportive evidence for the reclassification of IGD as a behavioural addiction.

Integrity signals

Registry

Crossref · 10.1111/adb.12154

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Meng, Y., Deng, W., Wang, H., Guo, W., & Li, T.
Affiliations
West China Medical Center of Sichuan University (CN)
Corresponding author
  • Guo, Wanjun
  • Li, Tao
Venue
Addiction Biology
Publisher
Wiley
Published
2014-06-03
Volume
20
Issue
4
Pages
799-808
ISSN
  • 1355-6215 (ISSN-L)
  • 1369-1600
OpenAlex
W1720114320
Cited by
197
References
56
Citations by year
2026: 6 · 2025: 10 · 2024: 14 · 2023: 13 · 2022: 9 · 2021: 15 · 2020: 59 · 2019: 16 · 2018: 16 · 2017: 15 · 2016: 11 · 2015: 11 · 2014: 2
FWCI
4.33
Type
journal article
Language
en
Open access
closed
Locations
  • Addiction Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Nature Science Foundation of China (81130024, 30530300, 30125014)
  • PhD Programs Foundation of Ministry of Education of China (20110181110014)
  • National Key Technology R & D Program of the Ministry of Science and Technology of China (2012BAI01B06)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
internet gaming disorder, prefrontal cortex dysfunction, medial frontal gyrus, cingulate gyrus, medial temporal gyrus, fusiform gyrus, brain activation, behavioral addiction, reward systems, self-regulation
MeSH terms
Adolescent, Adult, Brain Diseases, Humans, Magnetic Resonance Imaging, Male, Psychological Tests, Psychomotor Performance, Behavior, Addictive, Prefrontal Cortex, Video Games, Internet, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review